Literature DB >> 10952499

Use of PET to monitor the response of lung cancer to radiation treatment.

Y E Erdi1, H Macapinlac, K E Rosenzweig, J L Humm, S M Larson, A K Erdi, E D Yorke.   

Abstract

Approximately 170,000 people are diagnosed with lung cancer in the United States each year. Many of these patients receive external beam radiation for treatment. Fluorine-18 2-fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) is increasingly being used in evaluating non-small cell lung cancer and may be of clinical utility in assessing response to treatment. In this report, we present FDG PET images and data from two patients who were followed with a total of eight and seven serial FDG PET scans, respectively, through the entire course of their radiation therapy. Changes in several potential response parameters are shown versus time, including lesion volume (V(FDG)) by PET, SUVav, SUVmax, and total lesion glycolysis (TLG) during the course of radiotherapy. The response parameters for patient 1 demonstrated a progressive decrease; however, the response parameters for patient 2 showed an initial decrease followed by an increase. The data presented here may suggest that the outcome of radiation therapy can be predicted by PET imaging, but this observation requires a study of additional patients.

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Year:  2000        PMID: 10952499     DOI: 10.1007/s002590000258

Source DB:  PubMed          Journal:  Eur J Nucl Med        ISSN: 0340-6997


  29 in total

1.  A radiobiological model of radiotherapy response and its correlation with prognostic imaging variables.

Authors:  Mireia Crispin-Ortuzar; Jeho Jeong; Andrew N Fontanella; Joseph O Deasy
Journal:  Phys Med Biol       Date:  2017-01-31       Impact factor: 3.609

2.  Broadening the scope of image-guided radiotherapy (IGRT).

Authors:  Carlo Greco; C Clifton Ling
Journal:  Acta Oncol       Date:  2008       Impact factor: 4.089

3.  Associations between the standardized uptake value of (18)F-FDG PET/CT and demographic, clinical, pathological, radiological factors in lung cancer.

Authors:  Aysel Sunnetcioglu; Ahmet Arısoy; Yusuf Demir; Selami Ekin; Erkan Dogan
Journal:  Int J Clin Exp Med       Date:  2015-09-15

4.  Does pre-operative estimation of oesophageal tumour metabolic length using 18F-fluorodeoxyglucose PET/CT images compare with surgical pathology length?

Authors:  Reubendra Jeganathan; James McGuigan; Frederick Campbell; Thomas Lynch
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-12-16       Impact factor: 9.236

Review 5.  Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods.

Authors:  Tonghe Wang; Yang Lei; Yabo Fu; Walter J Curran; Tian Liu; Jonathon A Nye; Xiaofeng Yang
Journal:  Phys Med       Date:  2020-07-29       Impact factor: 2.685

6.  [18F]FDG-PET predicts complete pathological response of breast cancer to neoadjuvant chemotherapy.

Authors:  Alina Berriolo-Riedinger; Claude Touzery; Jean-Marc Riedinger; Michel Toubeau; Bruno Coudert; Laurent Arnould; Christophe Boichot; Alexandre Cochet; Pierre Fumoleau; François Brunotte
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-06-20       Impact factor: 9.236

7.  Cancer Response Criteria and Bone Metastases: RECIST 1.1, MDA and PERCIST.

Authors:  Colleen M Costelloe; Hubert H Chuang; John E Madewell; Naoto T Ueno
Journal:  J Cancer       Date:  2010-06-28       Impact factor: 4.207

8.  FDG-PET/CT imaging biomarkers in head and neck squamous cell carcinoma.

Authors:  Vasavi Paidpally; Alin Chirindel; Stella Lam; Nishant Agrawal; Harry Quon; Rathan M Subramaniam
Journal:  Imaging Med       Date:  2012-12

Review 9.  From RECIST to PERCIST: Evolving Considerations for PET response criteria in solid tumors.

Authors:  Richard L Wahl; Heather Jacene; Yvette Kasamon; Martin A Lodge
Journal:  J Nucl Med       Date:  2009-05       Impact factor: 10.057

10.  18F-FDG PET/CT for early prediction of response to neoadjuvant chemotherapy in breast cancer.

Authors:  Joan Duch; David Fuster; Montserrat Muñoz; Pedro Luís Fernández; Pilar Paredes; Montserrat Fontanillas; Flavia Guzmán; Sebastià Rubí; Francisco Juan Lomeña; Francesca Pons
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-03-27       Impact factor: 9.236

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